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A holistic evaluation of docker containers for interfering microservices


Jha, DN and Garg, S and Jayaraman, PP and Buyya, R and Li, Z and Ranjan, R, A holistic evaluation of docker containers for interfering microservices, Proceedings of the 2018 IEEE International Conference on Services Computing (SCC), 2-7 July 2018, San Francisco, USA, pp. 33-40. ISBN 978-1-5386-7250-1 (2018) [Refereed Conference Paper]

Copyright Statement

Copyright 2018 IEEE

DOI: doi:10.1109/SCC.2018.00012


Advancement of container technology (e.g. Docker,LXC, etc.) transformed the virtualization concept by providinga lightweight alternative to hypervisors. Docker has emergedas the most popular container management tool. Recentresearch regarding the comparison of container withhypervisor and bare-metal demonstrates that the container canaccomplish bare-metal performance in almost all case.However, the current literature lacks an in-depth study on theexperimental evaluation for understanding the performanceinterference between microservices that are hosted within asingle or across multiple containers. In this paper, we havepresented the experimental study on the performanceevaluation of Docker containers running heterogeneous set ofmicroservices concurrently. We have conducted acomprehensive set of experiments following CEEM (CloudEvaluation Experiment Methodology) to measure theinterference between containers running either competing orindependent microservices. We have also considered the effectsof constraining the resources of a container by explicitlyspecifying the cgroups. We have evaluated the performance ofcontainers in terms of inter-container (caused by twoconcurrent executing containers) and intra-container (causedbetween two microservices executing inside a container)interference which is almost neglected in the current literature.The evaluation results can be utilized to model the interferenceeffect for smart resource provisioning of microservices in thecontainerized environment.

Item Details

Item Type:Refereed Conference Paper
Keywords:cloud, container, performance benchmarking
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Garg, S (Dr Saurabh Garg)
ID Code:128329
Year Published:2018
Web of Science® Times Cited:17
Deposited By:Information and Communication Technology
Deposited On:2018-09-13
Last Modified:2019-02-26

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